Dataset of allele and genotype frequencies of five polymorphisms candidate genes analyzed for association with body mass index in Russian women

Evgeny Reshetnikov; Maria Abramova; Irina Ponomarenko; Alexey Polonikov; Irina Verzilina; Inna Sorokina; Inna Aristova; Anna Yermachenko; Volodymyr Dvornyk; Mikhail Churnosov

doi:10.1016/j.dib.2019.104962

Dataset of allele and genotype frequencies of five polymorphisms candidate genes analyzed for association with body mass index in Russian women

Data Brief. 2019 Dec 9:28:104962. doi: 10.1016/j.dib.2019.104962. eCollection 2020 Feb.

Authors

Affiliations

¹ Department of Medical Biological Disciplines, Belgorod State University, 308015, Belgorod, Russia.
² Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, 305041, Kursk, Russia.
³ Department of Social Epidemiology, Pierre Louis Institute of Epidemiology and Public Health, 75571, Paris, France.
⁴ Sorbonne Universités, 75320, Paris, France.
⁵ Department of Life Sciences, College of Science and General Studies, Alfaisal University, 11533, Riyadh, Saudi Arabia.

Abstract

Data on the allele and genotype frequencies of the five single nucleotide polymorphisms (SNPs) 5 genes - rs1514175 TNNI3K, rs713586 RBJ, rs887912 FANCL, rs2241423 MAP2K5, rs12444979 GPRC5B in Russian women are presented. Several genome-wide association studies identified these SNPs could be significant genetic markers associated with body mass index (BMI). Standard methods were used for collecting of the anthropometric characteristics (height and weight). We calculated the frequencies of alleles and genotypes of five SNPs in 5 groups: all samples, underweight (BMI<18.50), normal weight (18.50-24.99), overweight (25.00-29.99), obese (>30.00).

Keywords: Body mass index; FANCL; GPRC5B; MAP2K5; RBJ; Single nucleotide polymorphism; TNNI3K; Women.